Verified Job On Employer Career Site Job Summary: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are seeking a Principal Applied Scientist to lead development in Generative AI and Large Language Models to revolutionize the advertising flow. The role involves designing innovative solutions for ad retrieval and collaborating with cross-functional teams to enhance customer experiences. Responsibilities: • Lead the design and development of GenAI-powered solutions to transform ad retrieval, auctions, whole-page relevance, and bespoke shopping experiences. • Collaborate cross-functionally with scientists, engineers, and product leaders to bring scalable, production-ready GenAI solutions to life. • Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. • Champion a long-term scientific vision for advertising that aligns with customer value, business strategy, and the technological frontier. • Play a critical role in enhancing the team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. • Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. Qualifications: Required: • Ph.D. in Computer Science, Machine Learning, Natural Language Processing, Statistics, or a related quantitative discipline. • Experience in building scalable AI/ML solutions for 5+ years, including at least 3 years leading large, complex projects at scale. • Strong foundation in machine learning, deep learning, probabilistic modeling, and/or optimization. • Experience developing and deploying models in real-world production environments. Preferred: • Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. • Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. • Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). • Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. • Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. • Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.